Volume 21 Issue 6
Jun.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(6): 907-910
PENG Derong, CHEN Chen, YU Mengzhu, FAN Feng, SHI Jianwei, WANG Zhaoxin, TAN Jun. Data mining-based analysis of comorbidity status and association rules of hypertensive patients in the community[J]. Chinese Journal of General Practice, 2023, 21(6): 907-910. doi: 10.16766/j.cnki.issn.1674-4152.003012
Citation: PENG Derong, CHEN Chen, YU Mengzhu, FAN Feng, SHI Jianwei, WANG Zhaoxin, TAN Jun. Data mining-based analysis of comorbidity status and association rules of hypertensive patients in the community[J]. Chinese Journal of General Practice, 2023, 21(6): 907-910. doi: 10.16766/j.cnki.issn.1674-4152.003012
shu

Data mining-based analysis of comorbidity status and association rules of hypertensive patients in the community

doi: 10.16766/j.cnki.issn.1674-4152.003012
  • 1.

    Pengpu Xincun Community Health Care Center of Jing' an District, Shanghai 200435, China

Funds:

 201940052

 2019PJC072

  • Received Date: 2022-09-15
    Available Online: 2023-08-26
    Abstract
  •   Objective  To understand the comorbidity status of hypertensive patients in Shanghai community and the correlation analysis of comorbidity, and provide theoretical basis and data support for community comorbidity management of hypertension patients.  Methods  The diagnosis and treatment data and health records of hypertensive patients in a community in Shanghai from January 2018 to December 2020 were collected, and the coexistence of multiple diseases among hypertensive patients of different genders and ages was analyzed. The association rule analysis of comorbidity combination was performed with Apriori algorithm to find out the key diseases of hypertensive patients with multiple diseases.  Results  The prevalence of comorbidity among hypertensive patients in the Shanghai community was 88.1% (34 311/38 961), which was much higher than that in the general elderly population. The prevalence of comorbidity in female hypertensive patients was higher than that in male hypertensive patients, and the prevalence of comorbidity in the high age group was higher than that in the low age group (both P < 0.001). The distribution of the total number of diseases is scattered, and there are differences between different age groups. The low age group mainly had 2-4 comorbidities, and the high age group mainly had more than 4. The results of the association rule analysis showed that two comorbidities generated eight strong association rules, the first is "hypertension and chronic ischemic heart disease"; Three comorbidities generated nine strong association rules, the first is "chronic ischemic heart disease and cerebrovascular disease and hypertension"; And four comorbidities generated three strong association rules, the first is "chronic ischemic heart disease and hyperlipidemia, cerebrovascular disease and hypertension".  Conclusions  The coexistence of multiple diseases in Shanghai community hypertensive patients should not be ignored, and the contraindications, interactions and multiple drug use should be considered. In particular, the prevention of hypertension comorbidity in young and middle-aged people is particularly important, which requires early warning, quasi evaluation and precise intervention. Management of comorbidities should include clinical-related conditions such as chronic ischemic heart disease, cerebrovascular disease and hyperlipemia, as well as other systemic comorbidities such as chronic functional bowel disease and chronic obstructive pulmonary disease.

     

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